Ship Collision Avoidance Path Planning Strategy Based on Quantum Bacterial Foraging Algorithm

DOI

10.2991/icecee-15.2015.124How to use a DOI?

Keywords

Ship Collision Avoidance; Path Planning; Quantum Algorithm; Bacterial Foraging Algorithm; Optimization Parameters

Abstract

In order to give an early warning for collision situation in marine traffic, to provide a collision avoidance decision, to relieve the workload of sailors, and to guarantee the safety of ship navigation, quantum bacteria foraging optimization algorithm is used to plan the dynamic collision avoidance process of ships by setting the shortest sailing distance in the collision avoidance process of own ship as the objective function according to COLREGS (Convention on the International Regulations for Preventing Collisions at Sea) and relevant knowledge in ship safety field. Meanwhile, the optimized avoidance angle, sailing time of resumption, resumption opportunity, and resumption angle in ship collision avoidance path planning are provided. Finally, effectiveness and superiority of this strategy are verified.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hongdan Liu
AU  - Sheng Liu
AU  - Lanyong Zhang
PY  - 2015/06
DA  - 2015/06
TI  - Ship Collision Avoidance Path Planning Strategy Based on Quantum Bacterial Foraging Algorithm
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 612
EP  - 621
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.124
DO  - 10.2991/icecee-15.2015.124
ID  - Liu2015/06
ER  -